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About:
Coronavirus Disease 2019 (COVID-19): An Evidence Map of Medical Literature
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An Entity of Type :
schema:ScholarlyArticle
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covidontheweb.inria.fr
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Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
Coronavirus Disease 2019 (COVID-19): An Evidence Map of Medical Literature
Creator
Liu, Nan
Yoon, Sungwon
Graves, Nicholas
Guek, Jenny
Lam, Wei
»more»
source
MedRxiv
abstract
Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of May 2020, gaps in the existing literature remain unidentified and, hence, unaddressed. In this paper, we summarise the medical literature on COVID-19 between 1 January and 24 March 2020 using evidence maps and bibliometric analysis in order to systematically identify gaps and propose areas for valuable future research. The examined COVID-19 medical literature originated primarily from Asia and focussed mainly on clinical features and diagnosis of the disease. Many areas of potential research remain underexplored, such as mental health research, the use of novel technologies and artificial intelligence, research on the pathophysiology of COVID-19 within different body systems, and research on indirect effects of COVID-19 on the care of non-COVID-19 patients. Research collaboration at the international level was limited although improvements may aid global containment efforts.
has issue date
2020-05-11
(
xsd:dateTime
)
bibo:doi
10.1101/2020.05.07.20093674
has license
medrxiv
sha1sum (hex)
9b5c79d22e6166c5ee6bb687cba48284e614b2d9
schema:url
https://doi.org/10.1101/2020.05.07.20093674
resource representing a document's title
Coronavirus Disease 2019 (COVID-19): An Evidence Map of Medical Literature
resource representing a document's body
covid:9b5c79d22e6166c5ee6bb687cba48284e614b2d9#body_text
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named entity 'Basic Science'
named entity 'cross-tabulation'
named entity 'Coronavirus Disease 2019'
named entity 'respiratory diseases'
named entity 'COVID'
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